A Fuzzy Similarity-Based Approach to Classify Numerically Simulated and Experimentally Detected Carbon Fiber-Reinforced Polymer Plate Defects
This paper presents an eddy current approach for testing, estimating, and classifying CFRP plate sub-surface defects, mainly due to delamination, through specific 2<i>D</i> magnetic induction field amplitude maps. These maps, showing marked fuzziness content, require the development of a...
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| Format: | Article |
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MDPI AG
2022-06-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/11/4232 |
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| author | Mario Versaci Giovanni Angiulli Paolo Crucitti Domenico De Carlo Filippo Laganà Diego Pellicanò Annunziata Palumbo |
| author_facet | Mario Versaci Giovanni Angiulli Paolo Crucitti Domenico De Carlo Filippo Laganà Diego Pellicanò Annunziata Palumbo |
| author_sort | Mario Versaci |
| collection | DOAJ |
| description | This paper presents an eddy current approach for testing, estimating, and classifying CFRP plate sub-surface defects, mainly due to delamination, through specific 2<i>D</i> magnetic induction field amplitude maps. These maps, showing marked fuzziness content, require the development of a procedure based on a fuzzy approach being efficiently classified. Since similar defects produce similar maps, we propose a method based on innovative fuzzy similarity formulations. This procedure can collect maps similar to each other in particular defect classes. In addition, a low-cost analysis system, including the probe, has been implemented in hardware. The developed tool can detect and evaluate the extent of surface defects with the same performance as a hardware tool of higher specifications, and it could be fruitfully employed by airline companies to maintain aircraft in compliance with safety standards. |
| first_indexed | 2024-03-10T00:52:11Z |
| format | Article |
| id | doaj.art-bc72897a744d47a1848a3405c03a4ca8 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T00:52:11Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-bc72897a744d47a1848a3405c03a4ca82023-11-23T14:50:41ZengMDPI AGSensors1424-82202022-06-012211423210.3390/s22114232A Fuzzy Similarity-Based Approach to Classify Numerically Simulated and Experimentally Detected Carbon Fiber-Reinforced Polymer Plate DefectsMario Versaci0Giovanni Angiulli1Paolo Crucitti2Domenico De Carlo3Filippo Laganà4Diego Pellicanò5Annunziata Palumbo6DICEAM Department, “Mediterranea” University, I-89122 Reggio Calabria, ItalyDIIES Department, “Mediterranea” University, I-89122 Reggio Calabria, ItalyCooperative TEC Spin-in, DICEAM Department, “Mediterranea” University, I-89122 Reggio Calabria, ItalyCooperative TEC Spin-in, DICEAM Department, “Mediterranea” University, I-89122 Reggio Calabria, ItalyCooperative TEC Spin-in, DICEAM Department, “Mediterranea” University, I-89122 Reggio Calabria, ItalyCooperative TEC Spin-in, DICEAM Department, “Mediterranea” University, I-89122 Reggio Calabria, ItalyMIFT Department, Messina University, I-98166 Messina, ItalyThis paper presents an eddy current approach for testing, estimating, and classifying CFRP plate sub-surface defects, mainly due to delamination, through specific 2<i>D</i> magnetic induction field amplitude maps. These maps, showing marked fuzziness content, require the development of a procedure based on a fuzzy approach being efficiently classified. Since similar defects produce similar maps, we propose a method based on innovative fuzzy similarity formulations. This procedure can collect maps similar to each other in particular defect classes. In addition, a low-cost analysis system, including the probe, has been implemented in hardware. The developed tool can detect and evaluate the extent of surface defects with the same performance as a hardware tool of higher specifications, and it could be fruitfully employed by airline companies to maintain aircraft in compliance with safety standards.https://www.mdpi.com/1424-8220/22/11/4232carbon fiber-reinforced platedelaminationclassificationfuzzy similarityfinite element methodeddy currents |
| spellingShingle | Mario Versaci Giovanni Angiulli Paolo Crucitti Domenico De Carlo Filippo Laganà Diego Pellicanò Annunziata Palumbo A Fuzzy Similarity-Based Approach to Classify Numerically Simulated and Experimentally Detected Carbon Fiber-Reinforced Polymer Plate Defects Sensors carbon fiber-reinforced plate delamination classification fuzzy similarity finite element method eddy currents |
| title | A Fuzzy Similarity-Based Approach to Classify Numerically Simulated and Experimentally Detected Carbon Fiber-Reinforced Polymer Plate Defects |
| title_full | A Fuzzy Similarity-Based Approach to Classify Numerically Simulated and Experimentally Detected Carbon Fiber-Reinforced Polymer Plate Defects |
| title_fullStr | A Fuzzy Similarity-Based Approach to Classify Numerically Simulated and Experimentally Detected Carbon Fiber-Reinforced Polymer Plate Defects |
| title_full_unstemmed | A Fuzzy Similarity-Based Approach to Classify Numerically Simulated and Experimentally Detected Carbon Fiber-Reinforced Polymer Plate Defects |
| title_short | A Fuzzy Similarity-Based Approach to Classify Numerically Simulated and Experimentally Detected Carbon Fiber-Reinforced Polymer Plate Defects |
| title_sort | fuzzy similarity based approach to classify numerically simulated and experimentally detected carbon fiber reinforced polymer plate defects |
| topic | carbon fiber-reinforced plate delamination classification fuzzy similarity finite element method eddy currents |
| url | https://www.mdpi.com/1424-8220/22/11/4232 |
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